1989 1st Division Season

182 games

Final

Champion

Odense

41 points · 3rd Title

Last Title: 1982

Relegated

B 1913

13 pts

Bronshoj · 13 pts

Biggest Overachiever

Odense

10.02 points above expected

41 points · 30.98 expected points

Biggest Disappointment

Bronshoj

6.68 points below expected

13 points · 19.68 expected points

League Table

The final standings for the season. vsSim shows actual points minus the simulation's mean — positive means the team overachieved against the model, negative means they underperformed.

#	Team	GP	W	D	L	Pts	GF	GA	GD	SimPts	vsSim
1	Odense Champion	26	17	7	2	41	45	19	+26	30.98	+10.02
2	Brondby	26	17	4	5	38	52	26	+26	36.41	+1.59
3	Lyngby	26	15	8	3	38	48	24	+24	30.54	+7.46
4	Vejle BK	26	14	6	6	34	45	27	+18	31.29	+2.71
5	Aarhus GF	26	10	13	3	33	39	22	+17	31.08	+1.92
6	B 1903	26	8	11	7	27	33	28	+5	29.03	-2.03
7	Silkeborg	26	7	11	8	25	31	29	+2	26.40	-1.40
8	Frem	26	9	5	12	23	34	38	-4	19.62	+3.38
9	Naestved	26	8	7	11	23	35	40	-5	26.90	-3.90
10	Ikast	26	6	9	11	21	28	43	-15	22.24	-1.24
11	Aalborg	26	5	9	12	19	30	39	-9	21.74	-2.74
12	Herfolge	26	5	6	15	16	17	45	-28	19.15	-3.15
13	B 1913 Relegated	26	4	5	17	13	25	52	-27	18.94	-5.94
14	Bronshoj Relegated	26	4	5	17	13	26	56	-30	19.68	-6.68

Top Overachievers & Disappointments

Teams that most beat — or most fell short of — their simulated point projections. A positive vsSim means the team accumulated more points than the model expected on average; a negative one means fewer.

Biggest Overachievers

#	Team	Actual	Sim	vsSim
1	Odense	41	30.98	+10.02
2	Lyngby	38	30.54	+7.46
3	Frem	23	19.62	+3.38
4	Vejle BK	34	31.29	+2.71
5	Aarhus GF	33	31.08	+1.92

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Bronshoj	13	19.68	-6.68
2	B 1913	13	18.94	-5.94
3	Naestved	23	26.90	-3.90
4	Herfolge	16	19.15	-3.15
5	Aalborg	19	21.74	-2.74

Top Streaks

Ranked by model unlikelihood — the product of pregame W/D/L probabilities over the games in each team's streak. A short streak by a poor team can outrank a longer one by a strong team since the poor team's per-game probabilities were lower going in. Unbeaten counts consecutive wins or ties; Winless counts consecutive losses or ties.

Most Unlikely Winning Streaks

#	Team	Games	Dates	Probability
1	Vejle BK	5	May 21 – Jul 30	1 in 102
2	Odense	5	May 28 – Aug 2	1 in 89
3	Herfolge	2	Jul 30 – Aug 2	1 in 58
4	Frem	3	Sep 17 – Oct 1	1 in 26
5	Aalborg	2	May 28 – Jun 4	1 in 14

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Herfolge	10	Aug 6 – Oct 7	1 in 497
2	Aalborg	5	Oct 1 – Oct 29	1 in 285
3	Bronshoj	7	Aug 6 – Sep 17	1 in 156
4	Brondby	2	Sep 3 – Sep 10	1 in 36
5	Naestved	4	Aug 2 – Aug 20	1 in 21

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Odense	20	Apr 16 – Oct 1	1 in 544
2	Vejle BK	10	Apr 16 – Jul 30	1 in 32
3	Frem	5	Jun 11 – Aug 13	1 in 13
4	Herfolge	5	Apr 30 – May 28	1 in 11
5	Lyngby	8	Sep 10 – Oct 29	1 in 10

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Ikast	14	Apr 16 – Aug 20	1 in 185
2	Naestved	9	Apr 9 – Jun 4	1 in 79
3	Aarhus GF	7	Apr 9 – May 21	1 in 47
4	B 1903	5	Apr 30 – May 28	1 in 29
5	Aalborg	7	Jun 11 – Aug 27	1 in 10

Position Race

Each team’s league position across the whole season. Colored teams are the season’s headline finishers — champion, promoted, and relegated; everyone else is gray as context.

Recent Form

Each team’s last 5 games, hottest first. Form shows the results (navy win, gray draw, red loss, newest on the right); the bars show Elo change over the window, points taken, points expected from the odds, and actual minus expected. Beside each team: current Elo and season points.

Team	Elo	Season Pts	Elo Δ (5)	Points (5)	Expected (5)	Actual − Exp
Odense	1774	41	+14	8	7.2	+0.8
Lyngby	1748	38	+67	9	6.7	+2.3
Brondby	1726	38	+10	7	6.1	+0.9
Vejle BK	1677	34	-17	5	6.1	-1.1
Aarhus GF	1714	33	+21	7	6.4	+0.6
B 1903	1572	27	-61	4	5.7	-1.7
Silkeborg	1569	25	-15	4	4.9	-0.9
Naestved	1549	23	-25	6	5.2	+0.8
Frem	1535	23	+30	4	3.9	+0.1
Ikast	1470	21	+6	5	3.7	+1.3
Aalborg	1460	19	-76	0	4.5	-4.5
Herfolge	1394	16	+51	5	2.8	+2.2
B 1913	1378	13	-9	3	3.4	-0.4
Bronshoj	1395	13	+4	3	3.5	-0.5

Head-to-Head

Each cell shows a team's record in that matchup (row vs column, formatted W-D-L) with the model's expected points on the line below. Navy-tinted cells mean the team beat the model's expectations by more than one point in that matchup; gold-tinted cells mean they fell short by the same margin.

Beat expectations Fell short Within expectations

Team	AAL	AG	B1	B1	BRO	BRO	FRE	HER	IKA	LYN	NAE	ODE	SIL	VB
Aalborg	—	0-1-1 1.58	0-1-1 1.81	1-0-1 3.16	1-0-1 1.32	0-0-2 3.11	0-2-0 3.05	2-0-0 2.90	0-1-1 2.46	0-1-1 1.69	1-0-1 1.84	0-1-1 1.77	0-1-1 2.49	0-1-1 1.56
Aarhus GF	1-1-0 3.84	—	1-1-0 2.96	2-0-0 3.75	0-0-2 2.04	0-2-0 4.18	2-0-0 3.94	1-1-0 3.72	1-1-0 3.96	1-1-0 2.78	1-1-0 3.32	0-1-1 2.65	0-2-0 3.20	0-2-0 2.56
B 1903	1-1-0 3.59	0-1-1 2.43	—	1-1-0 3.81	0-1-1 1.73	2-0-0 3.76	0-1-1 3.88	2-0-0 3.71	0-2-0 3.41	0-1-1 2.42	0-0-2 3.22	0-2-0 2.47	1-1-0 2.97	1-0-1 2.28
B 1913	1-0-1 2.24	0-0-2 1.67	0-1-1 1.61	—	0-0-2 1.06	1-0-1 2.44	0-0-2 2.58	0-1-1 2.87	1-1-0 2.16	0-0-2 1.55	0-1-1 1.89	0-0-2 1.11	1-1-0 1.54	0-0-2 1.54
Brondby	1-0-1 4.11	2-0-0 3.36	1-1-0 3.67	2-0-0 4.40	—	2-0-0 4.29	2-0-0 4.36	1-0-1 4.44	1-1-0 4.22	0-1-1 3.30	2-0-0 3.69	1-0-1 3.51	1-1-0 3.74	1-0-1 3.31
Bronshoj	2-0-0 2.28	0-2-0 1.27	0-0-2 1.66	1-0-1 2.95	0-0-2 1.16	—	0-1-1 2.25	0-2-0 2.64	1-0-1 2.25	0-0-2 1.69	0-0-2 1.81	0-0-2 1.24	0-0-2 2.06	0-0-2 1.86
Frem	0-2-0 2.34	0-0-2 1.48	1-1-0 1.53	2-0-0 2.80	0-0-2 1.10	1-1-0 3.14	—	1-0-1 2.52	1-0-1 2.45	0-0-2 1.65	1-1-0 1.85	0-0-2 1.42	1-0-1 1.92	1-0-1 1.46
Herfolge	0-0-2 2.49	0-1-1 1.68	0-0-2 1.69	1-1-0 2.52	1-0-1 1.03	0-2-0 2.75	1-0-1 2.86	—	0-1-1 2.27	0-0-2 1.21	1-1-0 1.46	0-0-2 1.96	1-0-1 1.56	0-0-2 1.20
Ikast	1-1-0 2.92	0-1-1 1.45	0-2-0 1.99	0-1-1 3.24	0-1-1 1.22	1-0-1 3.14	1-0-1 2.93	1-1-0 3.11	—	0-0-2 1.96	1-0-1 2.16	0-1-1 1.95	1-1-0 2.04	0-0-2 1.90
Lyngby	1-1-0 3.71	0-1-1 2.61	1-1-0 2.97	2-0-0 3.86	1-1-0 2.10	2-0-0 3.71	2-0-0 3.76	2-0-0 4.23	2-0-0 3.44	—	1-1-0 3.09	0-1-1 2.42	0-1-1 3.63	1-1-0 3.00
Naestved	1-0-1 3.56	0-1-1 2.07	2-0-0 2.17	1-1-0 3.51	0-0-2 1.72	2-0-0 3.59	0-1-1 3.55	0-1-1 3.95	1-0-1 3.23	0-1-1 2.30	—	1-0-1 2.01	0-1-1 2.87	0-1-1 2.08
Odense	1-1-0 3.62	1-1-0 2.73	0-2-0 2.92	2-0-0 4.33	1-0-1 1.88	2-0-0 4.20	2-0-0 3.99	2-0-0 3.46	1-1-0 3.44	1-1-0 2.97	1-0-1 3.39	—	1-1-0 3.15	2-0-0 2.75
Silkeborg	1-1-0 2.89	0-2-0 2.19	0-1-1 2.42	0-1-1 3.87	0-1-1 1.67	2-0-0 3.33	1-0-1 3.48	1-0-1 3.84	0-1-1 3.35	1-1-0 1.77	1-1-0 2.51	0-1-1 2.25	—	0-1-1 2.13
Vejle BK	1-1-0 3.86	0-2-0 2.82	1-0-1 3.10	2-0-0 3.88	1-0-1 2.08	2-0-0 3.56	1-0-1 3.96	2-0-0 4.25	2-0-0 3.51	0-1-1 2.39	1-1-0 3.31	0-0-2 2.64	1-1-0 3.27	—

Points vs. Goals Scored, Allowed, and Differential

Points plotted against goals scored, allowed, and differential. Use the buttons to switch views; hover a team for exact values. The table gives each fit's R² and slope (the change in points per 10 goals).

Fit Metrics

	R²	Slope
Scored	0.85	+8.8
Allowed	0.88	-7.7
Differential	0.97	+4.6

Scoreline Distribution

Percentage of games ending with each combination of team-goals (rows) and opponent-goals (columns). The diagonal shows draws; cells below the diagonal are wins from the row team's perspective, cells above are losses. Marginal totals on the right and bottom show how often each goal count occurred regardless of opponent. Use the picker to switch between the league-wide view and any individual team.

View:

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	7.14%	7.14%	6.32%	3.57%	1.92%	0.27%	26.37%
1	7.14%	15.93%	6.87%	4.40%	1.92%	0.27%	36.54%
2	6.32%	6.87%	5.49%	1.65%	0.55%	—	20.88%
3	3.57%	4.40%	1.65%	0.55%	—	0.27%	10.44%
4	1.92%	1.92%	0.55%	—	—	0.27%	4.67%
5+	0.27%	0.27%	—	0.27%	0.27%	—	1.10%
Total	26.37%	36.54%	20.88%	10.44%	4.67%	1.10%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.34	1.34	+0.00
SD	1.18	1.18	1.77
CV	0.88	0.88	—
Max	6	6	+6
Min	0	0	-6

Games Played: 182

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.85%	11.54%	11.54%	—	—	—	26.92%
1	3.85%	19.23%	11.54%	7.69%	—	—	42.31%
2	11.54%	3.85%	7.69%	—	—	—	23.08%
3	—	—	—	3.85%	—	—	3.85%
4	—	—	—	—	—	3.85%	3.85%
5+	—	—	—	—	—	—	—
Total	19.23%	34.62%	30.77%	11.54%	—	3.85%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.15	1.50	-0.35
SD	1.01	1.17	1.23
CV	0.87	0.78	—
Max	4	5	+2
Min	0	0	-2

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	15.38%	—	3.85%	—	—	—	19.23%
1	7.69%	26.92%	3.85%	3.85%	—	—	42.31%
2	15.38%	—	7.69%	—	—	—	23.08%
3	3.85%	—	—	—	—	—	3.85%
4	3.85%	3.85%	—	—	—	—	7.69%
5+	—	—	—	3.85%	—	—	3.85%
Total	46.15%	30.77%	15.38%	7.69%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.50	0.85	+0.65
SD	1.30	0.97	1.47
CV	0.87	1.14	—
Max	5	3	+4
Min	0	0	-2

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	11.54%	11.54%	3.85%	7.69%	—	—	34.62%
1	—	23.08%	3.85%	—	—	—	26.92%
2	7.69%	3.85%	7.69%	—	—	—	19.23%
3	3.85%	7.69%	3.85%	—	—	—	15.38%
4	3.85%	—	—	—	—	—	3.85%
5+	—	—	—	—	—	—	—
Total	26.92%	46.15%	19.23%	7.69%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.27	1.08	+0.19
SD	1.22	0.89	1.65
CV	0.96	0.83	—
Max	4	3	+4
Min	0	0	-3

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	7.69%	7.69%	11.54%	—	11.54%	—	38.46%
1	3.85%	11.54%	11.54%	11.54%	3.85%	—	42.31%
2	—	—	—	7.69%	—	—	7.69%
3	—	7.69%	—	—	—	—	7.69%
4	—	—	3.85%	—	—	—	3.85%
5+	—	—	—	—	—	—	—
Total	11.54%	26.92%	26.92%	19.23%	15.38%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.96	2.00	-1.04
SD	1.08	1.26	1.71
CV	1.12	0.63	—
Max	4	4	+2
Min	0	0	-4

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.85%	3.85%	11.54%	—	3.85%	—	23.08%
1	3.85%	7.69%	—	—	—	—	11.54%
2	7.69%	15.38%	3.85%	—	—	—	26.92%
3	7.69%	7.69%	3.85%	—	—	—	19.23%
4	7.69%	11.54%	—	—	—	—	19.23%
5+	—	—	—	—	—	—	—
Total	30.77%	46.15%	19.23%	—	3.85%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.00	1.00	+1.00
SD	1.44	0.94	2.02
CV	0.72	0.94	—
Max	4	4	+4
Min	0	0	-4

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	19.23%	7.69%	3.85%	3.85%	3.85%	38.46%
1	—	15.38%	7.69%	7.69%	3.85%	3.85%	38.46%
2	—	—	3.85%	—	3.85%	—	7.69%
3	—	11.54%	3.85%	—	—	—	15.38%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	—	46.15%	23.08%	11.54%	11.54%	7.69%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.00	2.15	-1.15
SD	1.06	1.43	1.91
CV	1.06	0.67	—
Max	3	6	+2
Min	0	1	-6

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.85%	15.38%	3.85%	3.85%	—	—	26.92%
1	3.85%	7.69%	15.38%	—	7.69%	—	34.62%
2	3.85%	11.54%	7.69%	—	—	—	23.08%
3	7.69%	—	3.85%	—	—	—	11.54%
4	—	—	3.85%	—	—	—	3.85%
5+	—	—	—	—	—	—	—
Total	19.23%	34.62%	34.62%	3.85%	7.69%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.31	1.46	-0.15
SD	1.12	1.10	1.67
CV	0.86	0.76	—
Max	4	4	+3
Min	0	0	-3

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.85%	7.69%	11.54%	19.23%	3.85%	—	46.15%
1	15.38%	11.54%	7.69%	3.85%	3.85%	—	42.31%
2	3.85%	—	7.69%	—	—	—	11.54%
3	—	—	—	—	—	—	—
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	23.08%	19.23%	26.92%	23.08%	7.69%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.65	1.73	-1.08
SD	0.69	1.28	1.65
CV	1.05	0.74	—
Max	2	4	+2
Min	0	0	-4

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	7.69%	3.85%	7.69%	7.69%	—	—	26.92%
1	7.69%	19.23%	3.85%	7.69%	3.85%	—	42.31%
2	—	11.54%	7.69%	3.85%	3.85%	—	26.92%
3	—	3.85%	—	—	—	—	3.85%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	15.38%	38.46%	19.23%	19.23%	7.69%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.08	1.65	-0.58
SD	0.84	1.20	1.42
CV	0.78	0.72	—
Max	3	4	+2
Min	0	0	-3

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	7.69%	—	3.85%	—	—	—	11.54%
1	15.38%	15.38%	—	—	—	—	30.77%
2	11.54%	7.69%	7.69%	3.85%	—	—	30.77%
3	—	11.54%	—	—	—	3.85%	15.38%
4	7.69%	3.85%	—	—	—	—	11.54%
5+	—	—	—	—	—	—	—
Total	42.31%	38.46%	11.54%	3.85%	—	3.85%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.85	0.92	+0.92
SD	1.19	1.16	1.52
CV	0.64	1.26	—
Max	4	5	+4
Min	0	0	-2

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.85%	3.85%	7.69%	3.85%	—	—	19.23%
1	7.69%	19.23%	11.54%	11.54%	3.85%	—	53.85%
2	—	7.69%	3.85%	—	—	—	11.54%
3	7.69%	—	—	—	—	—	7.69%
4	3.85%	—	—	—	—	—	3.85%
5+	—	—	—	—	3.85%	—	3.85%
Total	23.08%	30.77%	23.08%	15.38%	7.69%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.35	1.54	-0.19
SD	1.23	1.24	1.79
CV	0.91	0.81	—
Max	5	4	+4
Min	0	0	-3

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	11.54%	—	—	—	3.85%	—	15.38%
1	11.54%	11.54%	3.85%	—	—	—	26.92%
2	15.38%	15.38%	—	—	—	—	30.77%
3	11.54%	7.69%	—	3.85%	—	—	23.08%
4	—	3.85%	—	—	—	—	3.85%
5+	—	—	—	—	—	—	—
Total	50.00%	38.46%	3.85%	3.85%	3.85%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.73	0.73	+1.00
SD	1.12	1.00	1.52
CV	0.64	1.37	—
Max	4	4	+3
Min	0	0	-4

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	15.38%	7.69%	—	3.85%	—	—	26.92%
1	7.69%	26.92%	7.69%	3.85%	—	—	46.15%
2	3.85%	3.85%	—	7.69%	—	—	15.38%
3	3.85%	—	3.85%	—	—	—	7.69%
4	—	—	—	—	—	—	—
5+	—	3.85%	—	—	—	—	3.85%
Total	30.77%	42.31%	11.54%	15.38%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.19	1.12	+0.08
SD	1.17	1.03	1.44
CV	0.98	0.93	—
Max	5	3	+4
Min	0	0	-3

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.85%	7.69%	3.85%	—	—	—	15.38%
1	11.54%	7.69%	7.69%	3.85%	—	—	30.77%
2	7.69%	15.38%	11.54%	—	—	—	34.62%
3	3.85%	3.85%	3.85%	—	—	—	11.54%
4	—	3.85%	—	—	—	—	3.85%
5+	3.85%	—	—	—	—	—	3.85%
Total	30.77%	38.46%	26.92%	3.85%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.73	1.04	+0.69
SD	1.34	0.87	1.72
CV	0.78	0.84	—
Max	6	3	+6
Min	0	0	-2

Games Played: 26

Season Summary

Every team's regular-season finish compared against 100,000 simulations. Click any column header to sort. Luck is the team's actual points minus the sim's mean — positive means the team beat the model. Percentile is where the actual result fell in the team's sim distribution (e.g. 90% = the team did this well or better in only 10% of sims).

Team	Elo	Points	Avg	Luck	Percentile	Min	5th	Q1	Median	Q3	95th	Max
Odense	1774	41	30.98	+10.02	100.0%	19	24	29	31	33	38	41
Lyngby	1748	38	30.54	+7.46	99.0%	22	23	28	30	33	36	42
Brondby	1726	38	36.41	+1.59	76.0%	29	31	34	37	38	42	47
Aarhus GF	1714	33	31.08	+1.92	74.0%	22	25	28	31	34	37	40
Vejle BK	1677	34	31.29	+2.71	78.0%	21	24	29	31	34	36	39
B 1903	1572	27	29.03	-2.03	35.0%	18	23	26	29	32	36	38
Silkeborg	1569	25	26.40	-1.40	42.0%	18	20	24	26	28	33	39
Naestved	1549	23	26.90	-3.90	18.0%	20	22	24	27	29	33	35
Frem	1535	23	19.62	+3.38	87.0%	10	13	17	20	22	26	31
Ikast	1470	21	22.24	-1.24	39.0%	15	16	20	22	24	27	32
Aalborg	1460	19	21.74	-2.74	29.0%	12	16	19	21	24	29	34
Bronshoj	1395	13	19.68	-6.68	2.0%	12	14	17	19	22	26	29
Herfolge	1394	16	19.15	-3.15	29.0%	8	13	16	19	22	26	30
B 1913	1378	13	18.94	-5.94	5.0%	10	13	16	18	21	26	30

Point Totals in Context

How did each team's actual results compare to their simulated points, Elo rating, average opponent Elo, and percentile within simulated outcomes? Use the buttons to switch between views. In each chart, dashed crosshairs at the league means split the plot into four quadrants: pastel green (team did well, model agreed), pastel red (team did poorly, model agreed), and pastel yellow (model and reality disagreed).

Home-Field Advantage Edge

The simulation applies the same home-field boost to every game across the league, so the per-game home win probabilities bake in the model's idea of HFA. For each team, we sum expected points at home and compare to actual home points, and the same on the road. The bar shows (home points above expected) minus (away points above expected). A tall positive bar means the team's home/road split exceeded what the model predicted — a real fortress effect. A tall negative bar means the reverse: they played worse at home or better on the road than expected.

Season Trends

How each metric evolved across the season - Elo rating, actual and projected points, title/promotion probability, and relegation probability - day by day.

Edges & Scoring

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Home Edge: Share of matches won by the home team minus the share won by the away team.
No Edge: under 8.5% * Slight Edge: 8.5% to 12.5% * Clear Edge: 12.5% to 17.5% * Strong Edge: 17.5% and up.
Elo Value: Number of Elo rating points one goal is worth. A team this many Elo points better than another is expected to win by one goal on a neutral field.
Scoring Tilt: Average home goals minus average away goals per match. The gold line is the home goals edge implied by the scoring value of an Elo point and the home-field Elo bonus.
Road-Tilted: under -0.2 * Neutral: -0.2 to 0.5 * Home-Tilted: 0.5 to 1.2 * Strong Home: 1.2 and up.

Home Edge

HomeDrawAway

+12.64%

Clear Edge

41.76%29.12%29.12%

Elo Value

Home Edge: 44.14 Elo pts.

184 Elo

0.005 goals per Elo point

0500

Scoring Tilt

Expected

+0.29 goals

Neutral

-2+0.24+2

Title Race

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Title-Race Openness: Effective number of teams with a live shot at finishing 1st, from the simulation. 1 means the favorite is a near-lock; larger means a wide-open race. Equal to 1 divided by the sum of squared title odds.
One-Team Race: under 3 * Top-Heavy: 3 to 4 * Open: 4 to 6 * Wide Open: 6 and up.
Champion Preseason Odds: Preseason probability that the eventual champion would finish 1st, from the simulation. The dot marks their rank across all teams, from longshot to favorite.
Preseason Favorite: 1st * Among the Favorites: 2nd to 3rd * Middle of the Pack: 4th to 7th * Longshot: 8th or lower.
Title Margin: Points-per-game gap between the champion and the runner-up. Shown per game so it reads the same across long and short seasons. The gold line is the winning margin the model expected, so a dot to the right means a more one-sided race than projected. A title won on goal difference shows 0.00.
Photo Finish: under 0.06 * Tight Race: 0.06 to 0.15 * Comfortable: 0.15 to 0.27 * Runaway: 0.27 and up.

Title-Race Openness

2.4

One-Team Race

134610

Champion Preseason Odds

11%

Odense, 3rd of 14

LongshotFavorite

Title Margin

Expected

0.12/gm

Tight Race

00.120.5/gm

Simulation-Based Surprises

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Luck Spread: Standard deviation of the gap between each team's actual points and their simulated average points. The gold line is the spread the model expected from chance alone.
As Expected: under 3.07 * Some Luck: 3.07 to 4.61 * Lucky: 4.61 to 6.15 * Wild Swing: 6.15 and up.
Average Finish Error: Average gap between where each team was projected to finish and where they actually finished in the table.
Pinpoint: under 1.5 * Close: 1.5 to 2.25 * Off: 2.25 to 2.99 * Way Off: 2.99 and up.
Biggest Overachiever: The team that finished highest inside its own range of simulated outcomes. The gold line is where the top team in a league of 14 typically lands.
Biggest Underachiever: The team that finished lowest inside its own range of simulated outcomes. The gold line is where the bottom team in a league of 14 typically lands.
Season Outliers: Number of teams that finished above the 95th or below the 5th percentile of their own simulated range. Even a well-calibrated model expects about 10% of teams in the extremes.
Minimal Outliers: under 14 * As Expected: 14 to 22.4 * Several Outliers: 22.4 to 30.8 * Many Outliers: 30.8 and up.
Unexpected Relegations: Number of teams that were actually relegated but were not in the model's projected bottom field of the same size. The gold line is how many the model expected to miss on average.
As Expected: under 1.11 * A Surprise: 1.11 to 1.78 * Several Surprises: 1.78 to 2.44 * Many Surprises: 2.44 and up.

Luck Spread

Expected

4.64 points

Lucky

03.8410

Average Finish Error

Expected

1.71

01.874

Biggest Overachiever

Expected 96.43%

100.00%

Odense

50100

Biggest Underachiever

Expected 3.57%

2.00%

Bronshoj

050

Season Outliers

Expected

3 of 14

Minimal Outliers

01.47

Unexpected Relegations

Expected

0 of 2

As Expected

01.12

Parity

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Gini Index: How evenly points were spread across the league. Lower means a tight, balanced table; higher means a few teams ran off with most of the points.
Balanced: under 0.12 * Even: 0.12 to 0.15 * Top-Heavy: 0.15 to 0.17 * Lopsided: 0.17 and up.
Noll-Scully: Take a league where every match is a coin flip and nobody is better than anybody. You would still get a table, with a leader and a bottom club, purely by luck, and you can work out how far apart that table would be. This is the real table measured against it. At 1.00 the season was no more spread out than pure chance; at 2.00 it was twice as spread out, which takes genuine differences in quality. Dividing by the luck figure is what makes seasons of different lengths comparable, because a short season spreads a table by luck alone far more than a long one does. Elo SD in the corner is the same question in rating points: how far apart the teams finished on the ratings.
Coin-Flip Parity: under 1.35 * Moderate Separation: 1.35 to 1.6 * Strong Separation: 1.6 to 1.9 * Wide Separation: 1.9 and up.
Interquartile Edge: Chance the team at the 75th percentile of Elo would beat the team at the 25th percentile on a neutral field. Higher means a bigger gap between the upper and lower half of the table.
Even: under 59% * Slight Edge: 59% to 64.5% * Clear Edge: 64.5% to 69% * Wide Edge: 69% and up.
Best vs. Worst: Chance the top-rated team would beat the bottom-rated team on a neutral field. The gold line is how large that gap tends to be in a league of this size; a dot to the right flags an unusually dominant or unusually weak team.
Even: under 79% * Clear Edge: 79% to 85% * Strong Edge: 85% to 88.5% * Dominant: 88.5% and up.
Close Games: Share of matches decided by 1 goal or fewer, draws included. The gold line is how many close games the matchups and the scoring value of an Elo point predict.
Few: under 54.5% * Some Drama: 54.5% to 58% * Frequent: 58% to 61.5% * Very Frequent: 61.5% and up.
Blowouts: Share of matches decided by 3 goals or more. The gold line is how many routs the matchups and the scoring model predict.
Rare: under 15.5% * Occasional: 15.5% to 19% * Frequent: 19% to 23% * Very Frequent: 23% and up.

Gini Index

0.20

Lopsided

00.120.5

Noll-Scully

Elo SD: 139.12

2.20

Wide Separation

0.651.351.61.92.5

Interquartile Edge

80%

Wide Edge

50%59%69%100%

Best vs. Worst

Baseline 95%

91%

Dominant

50%100%

Close Games

Expected

61%

Frequent

0%60%100%

Blowouts

Expected

16%

Occasional

0%16%100%

Predictability

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Brier Score: How close the pregame probabilities landed to the actual result, averaged over the season. Confident, correct calls are rewarded most; confident misses are punished most. Lower is better; since draws are possible, a score under 0.66 beats guessing the base rate.
Highly Predictable: under 0.56 * Predictable: 0.56 to 0.62 * Hard to Predict: 0.62 to 0.66 * Coin-Flip: 0.66 and up.
Matchup Imbalance: How lopsided the matchups were on paper, averaging the gap between the two win probabilities over their sum. 0 means every match was a toss-up; 1 means every match was a heavy favorite against a big underdog.
Very Even: under 0.28 * Slight Separation: 0.28 to 0.32 * Notable Separation: 0.32 to 0.37 * Lopsided: 0.37 and up.
Strangeness: How wild the final table was versus what the model expected. A value of 1 means teams landed about one standard deviation from their projections on average. Above 1 is a stranger season; below 1 hugged the projections.
Very Predictable: under 0.8 * As Expected: 0.8 to 1.1 * Wilder Than Modeled: 1.1 to 1.4 * Chaotic: 1.4 and up.
Repeatability: How closely the final table order matched the preseason Elo order, by Spearman rank correlation. Higher means last season's ratings strongly predicted this season's finish. Shows N/A for an inaugural season.
Weak Carryover: under 0.3 * Some Carryover: 0.3 to 0.5 * Strong Carryover: 0.5 to 0.63 * Near-Lock: 0.63 and up.
Upset Rate: Share of matches the underdog won. The gold line is how often the model expected underdogs to win; a dot to the right means upsets ran hotter than expected.
Chalky: under 24% * As Expected: 24% to 26.5% * Upset-Prone: 26.5% to 30.5% * Very Upset-Prone: 30.5% and up.
Clear Favorite Upset Rate: Share of matches the underdog won, counting only games with a clear favorite (at least 60% likely to win once a draw is set aside). The gold line is how often the model expected these favorites to slip.
Solid Favorites: under 20.5% * As Expected: 20.5% to 23.5% * Shaky Favorites: 23.5% to 27% * Very Shaky: 27% and up.

Brier Score

Expected

0.59

Predictable

00.612

Matchup Imbalance

0.42

Lopsided

00.280.370.5

Strangeness

Expected

1.40

Wilder Than Modeled

01.002

Repeatability

0.67

Near-Lock

00.30.50.631

Upset Rate

Expected

18%

Chalky

0%20%50%

Clear Favorite Upset Rate

Expected

17%

Solid Favorites

0%17%50%

Calibration

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Probability calibration: An all-in-one chi-square test of the model's probabilities. Matches are grouped by how confident the model was, and within each group the predicted and actual counts of home wins, draws, and away wins are compared. The p-value is plotted; above 0.05 means well-calibrated.
Miscalibrated: under 0.05 * Borderline: 0.05 to 0.1 * Well Calibrated: 0.1 to 0.5 * Excellent: 0.5 and up.
Calibration slope: Checks whether the spread of the probabilities is right. Each probability is turned into log-odds and a line is fit predicting the actual results. A slope of 1.00 is perfect; below 1 is overconfidence (favorites lost more than their odds implied); above 1 is under-confidence.
Overconfident: under 0.85 * Calibrated: 0.85 to 1.15 * Underconfident: 1.15 to 1.3 * Very Underconfident: 1.3 and up.
Calibration error (ECE): The average gap between the model's stated chances and how often the predicted result actually happened. Smaller is better. The gold line is the noise ceiling, the error luck alone can produce even with perfect probabilities; below it, the model's error is no larger than chance.
Well Within Noise: under 0.13 * Near Noise Ceiling: 0.13 to 0.19 * Above Noise: 0.19 to 0.25 * Well Above Noise: 0.25 and up.

Probability calibration

0.75

Excellent

0.010.050.10.51

Calibration slope

Ideal

1.05

Calibrated

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.073

Well Within Noise

00.1270.3

Final Table Odds

Each cell is the probability — across 100,000 simulations — that the team (row) finished at that position (column). Rows are sorted by actual finish (champion at top, bottom of the table at the bottom).

Team	1	2	3	4	5	6	7	8	9	10	11	12	13	14
Odense	11.00%	9.00%	26.00%	18.00%	10.00%	9.00%	7.00%	5.00%	3.00%	—	1.00%	—	—	1.00%
Brondby	61.00%	22.00%	12.00%	4.00%	1.00%	—	—	—	—	—	—	—	—	—
Lyngby	7.00%	14.00%	14.00%	17.00%	18.00%	12.00%	7.00%	6.00%	4.00%	—	1.00%	—	—	—
Vejle BK	7.00%	25.00%	16.00%	17.00%	12.00%	11.00%	2.00%	5.00%	4.00%	—	1.00%	—	—	—
Aarhus GF	12.00%	13.00%	13.00%	14.00%	23.00%	9.00%	5.00%	5.00%	3.00%	2.00%	1.00%	—	—	—
B 1903	1.00%	10.00%	9.00%	14.00%	15.00%	15.00%	13.00%	16.00%	4.00%	1.00%	—	—	2.00%	—
Silkeborg	1.00%	5.00%	2.00%	3.00%	8.00%	18.00%	22.00%	16.00%	12.00%	5.00%	6.00%	—	2.00%	—
Frem	—	—	—	1.00%	1.00%	1.00%	2.00%	5.00%	6.00%	11.00%	19.00%	22.00%	15.00%	17.00%
Naestved	—	1.00%	6.00%	8.00%	7.00%	13.00%	22.00%	16.00%	13.00%	10.00%	3.00%	1.00%	—	—
Ikast	—	1.00%	1.00%	—	2.00%	2.00%	9.00%	8.00%	17.00%	25.00%	12.00%	8.00%	12.00%	3.00%
Aalborg	—	—	1.00%	3.00%	2.00%	5.00%	5.00%	5.00%	10.00%	18.00%	15.00%	19.00%	11.00%	6.00%
Herfolge	—	—	—	—	1.00%	1.00%	4.00%	6.00%	7.00%	10.00%	10.00%	19.00%	11.00%	31.00%
B 1913	—	—	—	—	—	4.00%	—	1.00%	8.00%	9.00%	14.00%	18.00%	21.00%	25.00%
Bronshoj	—	—	—	1.00%	—	—	2.00%	6.00%	9.00%	9.00%	17.00%	13.00%	26.00%	17.00%

Points Required Per Position

The empirical CDF of simulated point totals per finishing position. Each curve shows, for one position (1st, 2nd, ..., last), the spread of point totals teams accumulated across simulations. Reading the curve at the 50% mark gives the median points typically needed to finish at that position. Steep curves mean the position is tightly clustered around a particular point range; shallow curves mean the position came with a wide variety of point totals.

Next-Season Status

Across 100,000 regular-season simulations, the probability of each team's next-season status. Columns appear in best-to-worst outcome order: promotion-positive on the left, relegation-positive on the right. Cells with darker shading indicate higher likelihood.

Team	Same level	Direct relegation
Aarhus GF	100%	—
Brondby	100%	—
Lyngby	100%	—
Naestved	100%	—
Vejle BK	100%	—
Odense	99.00%	1.00%
B 1903	98.00%	2.00%
Silkeborg	98.00%	2.00%
Ikast	85.00%	15.00%
Aalborg	83.00%	17.00%
Frem	68.00%	32.00%
Herfolge	58.00%	42.00%
Bronshoj	57.00%	43.00%
B 1913	54.00%	46.00%

Filter by Team:

Overall Game Log

Summary of every completed game this season. Sort any column by clicking its header.

Date	Opponent	Score	Excitement	Pre Elo	Opp Elo	Win %	Tie %	Loss %	Proj. Margin	Elo Δ	Points
1989-04-02	Aarhus GF	L 0-2	50.5	1501	1609	28.94%	30.69%	40.36%	-0.35	-22.5	0
1989-04-02	@ B 1913	W 2-0	50.5	1609	1501	40.36%	30.69%	28.94%	+0.35	+22.5	2
1989-04-02	Aalborg	W 2-0	45.9	1702	1490	63.01%	28.05%	8.93%	+1.40	+8.6	2
1989-04-02	@ Brondby	L 0-2	45.9	1490	1702	8.93%	28.05%	63.01%	-1.40	-8.6	0
1989-04-02	Ikast	D 2-2	70.4	1519	1566	37.31%	30.88%	31.82%	-0.01	-0.3	1
1989-04-02	@ Herfolge	D 2-2	70.4	1566	1519	31.82%	30.88%	37.31%	+0.01	+0.3	1
1989-04-02	Frem	W 1-0	46.1	1596	1446	58.53%	29.22%	12.25%	+1.05	+6.1	2
1989-04-02	@ Lyngby	L 0-1	46.1	1446	1596	12.25%	29.22%	58.53%	-1.05	-6.1	0
1989-04-02	Bronshoj	W 1-0	52.3	1620	1550	51.42%	30.29%	18.29%	+0.62	+8.5	2
1989-04-02	@ Naestved	L 0-1	52.3	1550	1620	18.29%	30.29%	51.42%	-0.62	-8.5	0
1989-04-02	Odense	D 1-1	66.1	1570	1571	43.45%	30.79%	25.76%	+0.24	-1.3	1
1989-04-02	@ Silkeborg	D 1-1	66.1	1571	1570	25.76%	30.79%	43.45%	-0.24	+1.3	1
1989-04-02	B 1903	W 1-0	56.8	1598	1623	40.35%	30.86%	28.79%	+0.11	+11.9	2
1989-04-02	@ Vejle BK	L 0-1	56.8	1623	1598	28.79%	30.86%	40.35%	-0.11	-11.9	0
1989-04-09	Herfolge	W 1-0	50.5	1481	1519	38.56%	30.88%	30.57%	+0.04	+12.5	2
1989-04-09	@ Aalborg	L 0-1	50.5	1519	1481	30.57%	30.88%	38.56%	-0.04	-12.5	1
1989-04-09	Lyngby	D 1-1	68.3	1632	1602	47.03%	30.63%	22.34%	+0.40	-1.9	3
1989-04-09	@ Aarhus GF	D 1-1	68.3	1602	1632	22.34%	30.63%	47.03%	-0.40	+1.9	3
1989-04-09	B 1913	W 3-2	58.9	1542	1479	50.67%	30.36%	18.97%	+0.58	+7.8	2
1989-04-09	@ Bronshoj	L 2-3	58.9	1479	1542	18.97%	30.36%	50.67%	-0.58	-7.8	0
1989-04-09	Silkeborg	W 3-2	64.7	1611	1569	48.40%	30.54%	21.06%	+0.47	+8.5	2
1989-04-09	@ B 1903	L 2-3	64.7	1569	1611	21.06%	30.54%	48.40%	-0.47	-8.5	1
1989-04-09	Vejle BK	W 1-0	57.5	1440	1610	21.67%	30.16%	48.17%	-0.69	+17.5	2
1989-04-09	@ Frem	L 0-1	57.5	1610	1440	48.17%	30.16%	21.67%	+0.69	-17.5	2
1989-04-09	Naestved	W 3-1	60.5	1566	1629	35.10%	30.86%	34.04%	-0.10	+21.9	3
1989-04-09	@ Ikast	L 1-3	60.5	1629	1566	34.04%	30.86%	35.10%	+0.10	-21.9	2
1989-04-09	Brondby	L 0-4	51.3	1572	1711	25.12%	30.47%	44.41%	-0.52	-38.5	1
1989-04-09	@ Odense	W 4-0	51.3	1711	1572	44.41%	30.47%	25.12%	+0.52	+38.5	4
1989-04-16	Ikast	D 1-1	64.2	1494	1588	30.66%	30.76%	38.58%	-0.27	+0.6	3
1989-04-16	@ Aalborg	D 1-1	64.2	1588	1494	38.58%	30.76%	30.66%	+0.27	-0.6	4
1989-04-16	Naestved	D 1-1	64.2	1471	1607	25.45%	30.49%	44.06%	-0.50	+1.4	1
1989-04-16	@ B 1913	D 1-1	64.2	1607	1471	44.06%	30.49%	25.45%	+0.50	-1.4	3
1989-04-16	B 1903	D 1-1	70.4	1749	1619	56.94%	29.53%	13.53%	+0.95	-3.6	5
1989-04-16	@ Brondby	D 1-1	70.4	1619	1749	13.53%	29.53%	56.94%	-0.95	+3.6	3
1989-04-16	Odense	L 0-1	54.9	1507	1533	40.02%	30.86%	29.12%	+0.09	-15.1	1
1989-04-16	@ Herfolge	W 1-0	54.9	1533	1507	29.12%	30.86%	40.02%	-0.09	+15.1	3
1989-04-16	Bronshoj	W 2-0	48.9	1604	1550	49.76%	30.44%	19.80%	+0.54	+17.0	5
1989-04-16	@ Lyngby	L 0-2	48.9	1550	1604	19.80%	30.44%	49.76%	-0.54	-17.0	2
1989-04-16	Frem	W 1-0	46.4	1561	1458	54.57%	29.91%	15.52%	+0.80	+7.4	3
1989-04-16	@ Silkeborg	L 0-1	46.4	1458	1561	15.52%	29.91%	54.57%	-0.80	-7.4	2
1989-04-16	Aarhus GF	D 1-1	68.0	1593	1630	38.68%	30.88%	30.45%	+0.04	-0.6	3
1989-04-16	@ Vejle BK	D 1-1	68.0	1630	1593	30.45%	30.88%	38.68%	-0.04	+0.6	4
1989-04-23	Silkeborg	D 0-0	62.9	1630	1568	50.60%	30.37%	19.03%	+0.58	-2.8	5
1989-04-23	@ Aarhus GF	D 0-0	62.9	1568	1630	19.03%	30.37%	50.60%	-0.58	+2.8	4
1989-04-23	Vejle BK	L 0-1	56.4	1532	1592	35.48%	30.87%	33.65%	-0.09	-13.8	2
1989-04-23	@ Bronshoj	W 1-0	56.4	1592	1532	33.65%	30.87%	35.48%	+0.09	+13.8	5
1989-04-23	Herfolge	W 2-0	45.6	1623	1491	57.06%	29.51%	13.43%	+0.96	+12.4	5
1989-04-23	@ B 1903	L 0-2	45.6	1491	1623	13.43%	29.51%	57.06%	-0.96	-12.4	1
1989-04-23	Brondby	L 1-2	56.3	1450	1746	11.73%	28.16%	60.12%	-1.37	-5.4	2
1989-04-23	@ Frem	W 2-1	56.3	1746	1450	60.12%	28.16%	11.73%	+1.37	+5.4	7
1989-04-23	B 1913	D 1-1	63.8	1588	1472	55.69%	29.74%	14.57%	+0.87	-3.4	5
1989-04-23	@ Ikast	D 1-1	63.8	1472	1588	14.57%	29.74%	55.69%	-0.87	+3.4	2
1989-04-23	Lyngby	D 1-1	68.1	1606	1621	41.54%	30.84%	27.63%	+0.16	-1.0	4
1989-04-23	@ Naestved	D 1-1	68.1	1621	1606	27.63%	30.84%	41.54%	-0.16	+1.0	6
1989-04-23	Aalborg	W 2-0	45.3	1548	1494	49.74%	30.44%	19.82%	+0.53	+17.1	5
1989-04-23	@ Odense	L 0-2	45.3	1494	1548	19.82%	30.44%	49.74%	-0.53	-17.1	3
1989-04-30	B 1903	D 1-1	65.4	1477	1635	22.96%	30.29%	46.75%	-0.62	+1.8	4
1989-04-30	@ Aalborg	D 1-1	65.4	1635	1477	46.75%	30.29%	22.96%	+0.62	-1.8	6
1989-04-30	Aarhus GF	W 3-1	56.7	1751	1627	56.40%	29.62%	13.97%	+0.91	+11.1	9
1989-04-30	@ Brondby	L 1-3	56.7	1627	1751	13.97%	29.62%	56.40%	-0.91	-11.1	5
1989-04-30	Frem	W 1-0	45.1	1479	1445	47.54%	30.60%	21.86%	+0.43	+9.8	3
1989-04-30	@ Herfolge	L 0-1	45.1	1445	1479	21.86%	30.60%	47.54%	-0.43	-9.8	2
1989-04-30	B 1913	W 2-0	44.7	1622	1476	58.26%	29.28%	12.46%	+1.04	+11.7	8
1989-04-30	@ Lyngby	L 0-2	44.7	1476	1622	12.46%	29.28%	58.26%	-1.04	-11.6	2
1989-04-30	Ikast	W 3-0	49.6	1565	1584	41.07%	30.85%	28.09%	+0.14	+32.1	7
1989-04-30	@ Odense	L 0-3	49.6	1584	1565	28.09%	30.85%	41.07%	-0.14	-32.1	5
1989-04-30	Bronshoj	W 5-1	49.0	1571	1519	49.53%	30.46%	20.01%	+0.52	+27.2	6
1989-04-30	@ Silkeborg	L 1-5	49.0	1519	1571	20.01%	30.46%	49.53%	-0.52	-27.2	2
1989-04-30	Naestved	D 1-1	67.8	1606	1605	43.66%	30.78%	25.55%	+0.25	-1.3	6
1989-04-30	@ Vejle BK	D 1-1	67.8	1605	1606	25.55%	30.78%	43.66%	-0.25	+1.4	5
1989-05-07	Herfolge	D 0-0	60.5	1616	1489	56.74%	29.57%	13.69%	+0.93	-4.0	6
1989-05-07	@ Aarhus GF	D 0-0	60.5	1489	1616	13.69%	29.57%	56.74%	-0.93	+4.0	4
1989-05-07	Vejle BK	L 1-2	57.2	1464	1605	24.90%	30.46%	44.64%	-0.53	-10.1	2
1989-05-07	@ B 1913	W 2-1	57.2	1605	1464	44.64%	30.46%	24.90%	+0.53	+10.1	8
1989-05-07	Brondby	L 0-3	46.8	1491	1762	13.25%	28.64%	58.11%	-1.23	-17.5	2
1989-05-07	@ Bronshoj	W 3-0	46.8	1762	1491	58.11%	28.64%	13.25%	+1.23	+17.5	11
1989-05-07	Odense	D 0-0	63.5	1633	1598	47.74%	30.59%	21.68%	+0.44	-2.2	7
1989-05-07	@ B 1903	D 0-0	63.5	1598	1633	21.68%	30.59%	47.74%	-0.44	+2.2	8
1989-05-07	Aalborg	D 2-2	64.2	1435	1479	37.70%	30.88%	31.43%	+0.00	-0.3	3
1989-05-07	@ Frem	D 2-2	64.2	1479	1435	31.43%	30.88%	37.70%	+0.00	+0.3	5
1989-05-07	Lyngby	L 0-1	57.1	1552	1633	32.46%	30.81%	36.73%	-0.20	-13.0	5
1989-05-07	@ Ikast	W 1-0	57.1	1633	1552	36.73%	30.81%	32.46%	+0.20	+13.0	10
1989-05-07	Silkeborg	D 1-1	67.7	1606	1598	44.46%	30.75%	24.79%	+0.28	-1.5	6
1989-05-07	@ Naestved	D 1-1	67.7	1598	1606	24.79%	30.75%	44.46%	-0.28	+1.5	7
1989-05-13	Lyngby	D 2-2	74.9	1615	1646	39.37%	30.87%	29.76%	+0.07	-0.5	9
1989-05-13	@ Vejle BK	D 2-2	74.9	1646	1615	29.76%	30.87%	39.37%	-0.07	+0.5	11
1989-05-14	Aarhus GF	D 1-1	64.6	1479	1612	25.80%	30.52%	43.68%	-0.48	+1.3	6
1989-05-14	@ Aalborg	D 1-1	64.6	1612	1479	43.68%	30.52%	25.80%	+0.48	-1.3	7
1989-05-14	Naestved	W 2-1	58.8	1780	1604	60.47%	28.77%	10.76%	+1.19	+5.1	13
1989-05-14	@ Brondby	L 1-2	58.8	1604	1780	10.76%	28.77%	60.47%	-1.19	-5.1	6
1989-05-14	Ikast	D 1-1	67.1	1631	1539	53.56%	30.04%	16.40%	+0.74	-3.0	8
1989-05-14	@ B 1903	D 1-1	67.1	1539	1631	16.40%	30.04%	53.56%	-0.74	+3.0	6
1989-05-14	Bronshoj	D 1-1	60.0	1493	1474	45.76%	30.70%	23.54%	+0.34	-1.7	5
1989-05-14	@ Herfolge	D 1-1	60.0	1474	1493	23.54%	30.70%	45.76%	-0.34	+1.7	3
1989-05-14	Frem	W 2-1	51.4	1600	1435	59.72%	28.96%	11.32%	+1.14	+5.3	10
1989-05-14	@ Odense	L 1-2	51.4	1435	1600	11.32%	28.96%	59.72%	-1.14	-5.3	3
1989-05-14	B 1913	L 1-3	63.0	1599	1454	58.20%	29.29%	12.51%	+1.03	-34.2	7
1989-05-14	@ Silkeborg	W 3-1	63.0	1454	1599	12.51%	29.29%	58.20%	-1.03	+34.2	4
1989-05-21	Odense	D 0-0	63.1	1611	1605	44.20%	30.76%	25.04%	+0.27	-1.6	8
1989-05-21	@ Aarhus GF	D 0-0	63.1	1605	1611	25.04%	30.76%	44.20%	-0.27	+1.6	11
1989-05-21	Brondby	L 1-3	54.4	1488	1785	11.66%	28.13%	60.21%	-1.37	-9.3	4
1989-05-21	@ B 1913	W 3-1	54.4	1785	1488	60.21%	28.13%	11.66%	+1.37	+9.3	15
1989-05-21	Aalborg	W 3-1	50.3	1476	1481	42.83%	30.81%	26.36%	+0.21	+18.3	5
1989-05-21	@ Bronshoj	L 1-3	50.3	1481	1476	26.36%	30.81%	42.83%	-0.21	-18.3	6
1989-05-21	B 1903	D 1-1	63.6	1429	1628	18.87%	29.81%	51.32%	-0.84	+2.5	4
1989-05-21	@ Frem	D 1-1	63.6	1628	1429	51.32%	29.81%	18.87%	+0.84	-2.5	9
1989-05-21	Vejle BK	L 0-2	53.3	1542	1614	33.74%	30.84%	35.42%	-0.15	-25.1	6
1989-05-21	@ Ikast	W 2-0	53.3	1614	1542	35.42%	30.84%	33.74%	+0.15	+25.1	11
1989-05-21	Silkeborg	L 2-3	74.7	1647	1565	52.58%	30.16%	17.26%	+0.69	-17.0	11
1989-05-21	@ Lyngby	W 3-2	74.7	1565	1647	17.26%	30.16%	52.58%	-0.69	+17.0	9
1989-05-21	Herfolge	D 2-2	70.9	1599	1491	55.06%	29.84%	15.10%	+0.83	-2.4	7
1989-05-21	@ Naestved	D 2-2	70.9	1491	1599	15.10%	29.84%	55.06%	-0.83	+2.4	6
1989-05-28	Naestved	W 2-0	53.1	1462	1597	25.62%	30.51%	43.87%	-0.49	+30.5	8
1989-05-28	@ Aalborg	L 0-2	53.1	1597	1462	43.87%	30.51%	25.62%	+0.49	-30.5	7
1989-05-28	Lyngby	D 2-2	77.1	1794	1630	59.65%	28.97%	11.38%	+1.13	-3.0	16
1989-05-28	@ Brondby	D 2-2	77.1	1630	1794	11.38%	28.97%	59.65%	-1.13	+3.0	12
1989-05-28	Aarhus GF	L 0-2	58.6	1626	1609	45.46%	30.71%	23.83%	+0.33	-31.5	9
1989-05-28	@ B 1903	W 2-0	58.6	1609	1626	23.83%	30.71%	45.46%	-0.33	+31.5	10
1989-05-28	Ikast	W 3-2	61.8	1432	1517	31.93%	30.80%	37.27%	-0.22	+12.8	6
1989-05-28	@ Frem	L 2-3	61.8	1517	1432	37.27%	30.80%	31.93%	+0.22	-12.8	6
1989-05-28	B 1913	D 1-1	60.2	1493	1479	45.26%	30.72%	24.02%	+0.32	-1.6	7
1989-05-28	@ Herfolge	D 1-1	60.2	1479	1493	24.02%	30.72%	45.26%	-0.32	+1.6	5
1989-05-28	Bronshoj	W 3-1	51.7	1607	1494	55.47%	29.78%	14.75%	+0.85	+11.7	13
1989-05-28	@ Odense	L 1-3	51.7	1494	1607	14.75%	29.78%	55.47%	-0.85	-11.7	5
1989-05-28	Vejle BK	L 0-1	58.9	1582	1639	35.85%	30.87%	33.28%	-0.07	-13.9	9
1989-05-28	@ Silkeborg	W 1-0	58.9	1639	1582	33.28%	30.87%	35.85%	+0.07	+13.9	13
1989-06-04	Frem	W 2-0	43.2	1641	1445	61.94%	28.38%	9.68%	+1.31	+9.2	12
1989-06-04	@ Aarhus GF	L 0-2	43.2	1445	1641	9.68%	28.38%	61.94%	-1.31	-9.2	6
1989-06-04	Aalborg	L 1-2	58.9	1481	1493	41.89%	30.83%	27.28%	+0.17	-14.8	5
1989-06-04	@ B 1913	W 2-1	58.9	1493	1481	27.28%	30.83%	41.89%	-0.17	+14.8	10
1989-06-04	B 1903	L 0-4	47.3	1482	1594	28.40%	30.67%	40.93%	-0.37	-42.2	5
1989-06-04	@ Bronshoj	W 4-0	47.3	1594	1482	40.93%	30.67%	28.40%	+0.37	+42.2	11
1989-06-04	Silkeborg	D 1-1	63.9	1504	1568	34.89%	30.86%	34.25%	-0.11	-0.0	7
1989-06-04	@ Ikast	D 1-1	63.9	1568	1504	34.25%	30.86%	34.89%	+0.11	+0.0	10
1989-06-04	Herfolge	W 4-0	43.8	1633	1492	57.86%	29.36%	12.78%	+1.01	+22.6	14
1989-06-04	@ Lyngby	L 0-4	43.8	1492	1633	12.78%	29.36%	57.86%	-1.01	-22.6	7
1989-06-04	Odense	L 1-3	61.0	1566	1618	36.57%	30.88%	32.55%	-0.04	-23.0	7
1989-06-04	@ Naestved	W 3-1	61.0	1618	1566	32.55%	30.88%	36.57%	+0.04	+23.0	15
1989-06-04	Brondby	W 2-0	60.4	1653	1791	25.25%	30.48%	44.27%	-0.51	+30.8	15
1989-06-04	@ Vejle BK	L 0-2	60.4	1791	1653	44.27%	30.48%	25.25%	+0.51	-30.8	16
1989-06-11	Lyngby	D 0-0	62.0	1508	1656	24.08%	30.39%	45.53%	-0.56	+1.8	11
1989-06-11	@ Aalborg	D 0-0	62.0	1656	1508	45.53%	30.39%	24.08%	+0.56	-1.8	15
1989-06-11	Ikast	D 1-1	66.9	1650	1504	58.25%	29.28%	12.47%	+1.04	-3.8	13
1989-06-11	@ Aarhus GF	D 1-1	66.9	1504	1650	12.47%	29.28%	58.25%	-1.04	+3.8	8
1989-06-11	Silkeborg	W 3-2	63.2	1760	1568	61.65%	28.46%	9.89%	+1.29	+4.5	18
1989-06-11	@ Brondby	L 2-3	63.2	1568	1760	9.89%	28.46%	61.65%	-1.29	-4.5	10
1989-06-11	Naestved	L 0-3	57.8	1636	1543	53.66%	30.03%	16.31%	+0.75	-53.1	11
1989-06-11	@ B 1903	W 3-0	57.8	1543	1636	16.31%	30.03%	53.66%	-0.75	+53.1	9
1989-06-11	Bronshoj	D 2-2	63.0	1436	1440	42.90%	30.81%	26.29%	+0.22	-0.9	7
1989-06-11	@ Frem	D 2-2	63.0	1440	1436	26.29%	30.81%	42.90%	-0.22	+0.9	6
1989-06-11	Vejle BK	L 0-3	46.1	1469	1684	17.45%	29.58%	52.97%	-0.93	-22.2	7
1989-06-11	@ Herfolge	W 3-0	46.1	1684	1469	52.97%	29.58%	17.45%	+0.93	+22.2	17
1989-06-11	B 1913	W 4-1	47.8	1641	1466	60.51%	28.76%	10.73%	+1.20	+12.5	17
1989-06-11	@ Odense	L 1-4	47.8	1466	1641	10.73%	28.76%	60.51%	-1.20	-12.5	5
1989-07-30	B 1903	D 0-0	57.9	1453	1583	26.16%	30.54%	43.30%	-0.47	+1.4	6
1989-07-30	@ B 1913	D 0-0	57.9	1583	1453	43.30%	30.54%	26.16%	+0.47	-1.4	12
1989-07-30	Aarhus GF	D 1-1	64.7	1441	1646	18.27%	29.72%	52.01%	-0.88	+2.7	7
1989-07-30	@ Bronshoj	D 1-1	64.7	1646	1441	52.01%	29.72%	18.27%	+0.88	-2.7	14
1989-07-30	Brondby	D 0-0	64.7	1508	1765	14.20%	28.90%	56.91%	-1.16	+3.9	9
1989-07-30	@ Ikast	D 0-0	64.7	1765	1508	56.91%	28.90%	14.20%	+1.16	-3.9	19
1989-07-30	Odense	L 0-2	59.1	1654	1654	43.45%	30.79%	25.76%	+0.24	-30.4	15
1989-07-30	@ Lyngby	W 2-0	59.1	1654	1654	25.76%	30.79%	43.45%	-0.24	+30.4	19
1989-07-30	Frem	D 0-0	58.1	1596	1435	59.47%	29.01%	11.51%	+1.12	-4.5	10
1989-07-30	@ Naestved	D 0-0	58.1	1435	1596	11.51%	29.01%	59.47%	-1.12	+4.5	8
1989-07-30	Herfolge	L 0-1	58.2	1564	1447	55.81%	29.72%	14.47%	+0.88	-20.1	10
1989-07-30	@ Silkeborg	W 1-0	58.2	1447	1564	14.47%	29.72%	55.81%	-0.88	+20.1	9
1989-07-30	Aalborg	W 2-1	56.1	1706	1510	61.98%	28.36%	9.65%	+1.31	+4.6	19
1989-07-30	@ Vejle BK	L 1-2	56.1	1510	1706	9.65%	28.36%	61.98%	-1.31	-4.6	11
1989-08-02	Silkeborg	D 1-1	63.0	1505	1544	38.40%	30.88%	30.72%	+0.03	-0.5	12
1989-08-02	@ Aalborg	D 1-1	63.0	1544	1505	30.72%	30.88%	38.40%	-0.03	+0.5	11
1989-08-02	Naestved	W 1-0	54.3	1644	1592	49.50%	30.46%	20.04%	+0.52	+9.1	16
1989-08-02	@ Aarhus GF	L 0-1	54.3	1592	1644	20.04%	30.46%	49.50%	-0.52	-9.1	10
1989-08-02	Lyngby	D 0-0	62.9	1582	1623	38.03%	30.88%	31.10%	+0.01	-0.6	13
1989-08-02	@ B 1903	D 0-0	62.9	1623	1582	31.10%	30.88%	38.03%	-0.01	+0.6	16
1989-08-02	B 1913	W 2-1	51.8	1439	1455	41.49%	30.84%	27.67%	+0.16	+10.9	10
1989-08-02	@ Frem	L 1-2	51.8	1455	1439	27.67%	30.84%	41.49%	-0.16	-10.9	6
1989-08-02	Brondby	W 1-0	65.5	1467	1761	11.83%	28.19%	59.98%	-1.36	+21.3	11
1989-08-02	@ Herfolge	L 0-1	65.5	1761	1467	59.98%	28.19%	11.83%	+1.36	-21.4	19
1989-08-02	Bronshoj	L 1-3	57.6	1512	1444	51.23%	30.31%	18.46%	+0.61	-30.3	9
1989-08-02	@ Ikast	W 3-1	57.6	1444	1512	18.46%	30.31%	51.23%	-0.61	+30.3	9
1989-08-02	Vejle BK	W 1-0	59.1	1684	1711	40.05%	30.86%	29.09%	+0.10	+12.0	21
1989-08-02	@ Odense	L 0-1	59.1	1711	1684	29.09%	30.86%	40.05%	-0.10	-12.0	19
1989-08-06	Frem	D 1-1	59.6	1504	1450	49.77%	30.44%	19.79%	+0.54	-2.3	13
1989-08-06	@ Aalborg	D 1-1	59.6	1450	1504	19.79%	30.44%	49.77%	-0.54	+2.3	11
1989-08-06	Bronshoj	W 4-1	48.9	1739	1474	66.26%	26.87%	6.87%	+1.69	+8.1	21
1989-08-06	@ Brondby	L 1-4	48.9	1474	1739	6.87%	26.87%	66.26%	-1.69	-8.1	9
1989-08-06	Aarhus GF	L 1-4	52.7	1489	1653	22.28%	30.23%	47.49%	-0.65	-22.7	11
1989-08-06	@ Herfolge	W 4-1	52.7	1653	1489	47.49%	30.23%	22.28%	+0.65	+22.7	18
1989-08-06	Ikast	W 3-1	51.1	1624	1482	57.96%	29.34%	12.71%	+1.02	+10.2	18
1989-08-06	@ Lyngby	L 1-3	51.1	1482	1624	12.71%	29.34%	57.96%	-1.02	-10.3	9
1989-08-06	B 1903	D 1-1	69.3	1696	1581	55.67%	29.74%	14.59%	+0.87	-3.3	22
1989-08-06	@ Odense	D 1-1	69.3	1581	1696	14.59%	29.74%	55.67%	-0.87	+3.4	14
1989-08-06	Naestved	W 3-0	49.7	1544	1583	38.45%	30.88%	30.67%	+0.03	+34.2	13
1989-08-06	@ Silkeborg	L 0-3	49.7	1583	1544	30.67%	30.88%	38.45%	-0.03	-34.2	10
1989-08-06	B 1913	W 3-2	58.5	1699	1444	65.66%	27.11%	7.22%	+1.63	+3.3	21
1989-08-06	@ Vejle BK	L 2-3	58.5	1444	1699	7.22%	27.11%	65.66%	-1.63	-3.3	6
1989-08-13	Brondby	L 1-2	66.6	1676	1748	33.76%	30.84%	35.40%	-0.15	-12.6	18
1989-08-13	@ Aarhus GF	W 2-1	66.6	1748	1676	35.40%	30.84%	33.76%	+0.15	+12.6	23
1989-08-13	Lyngby	L 1-3	52.3	1440	1634	19.34%	29.87%	50.79%	-0.81	-14.4	6
1989-08-13	@ B 1913	W 3-1	52.3	1634	1440	50.79%	29.87%	19.34%	+0.81	+14.4	20
1989-08-13	Silkeborg	L 1-2	57.4	1466	1578	28.30%	30.66%	41.03%	-0.37	-11.1	9
1989-08-13	@ Bronshoj	W 2-1	57.4	1578	1466	41.03%	30.66%	28.30%	+0.37	+11.1	15
1989-08-13	Aalborg	W 2-1	55.4	1585	1502	52.66%	30.15%	17.19%	+0.69	+7.6	16
1989-08-13	@ B 1903	L 1-2	55.4	1502	1585	17.19%	30.15%	52.66%	-0.69	-7.6	13
1989-08-13	Herfolge	W 3-0	41.3	1452	1466	41.76%	30.83%	27.40%	+0.17	+31.5	13
1989-08-13	@ Frem	L 0-3	41.3	1466	1452	27.40%	30.83%	41.76%	-0.17	-31.6	11
1989-08-13	Odense	D 0-0	62.3	1471	1693	16.87%	29.48%	53.65%	-0.97	+3.3	10
1989-08-13	@ Ikast	D 0-0	62.3	1693	1471	53.65%	29.48%	16.87%	+0.97	-3.3	23
1989-08-13	Vejle BK	L 1-2	61.5	1549	1702	23.43%	30.34%	46.23%	-0.60	-9.6	10
1989-08-13	@ Naestved	W 2-1	61.5	1702	1549	46.23%	30.34%	23.43%	+0.60	+9.6	23
1989-08-20	Odense	D 3-3	77.5	1494	1690	19.19%	29.85%	50.95%	-0.82	+1.5	14
1989-08-20	@ Aalborg	D 3-3	77.5	1690	1494	50.95%	29.85%	19.19%	+0.82	-1.5	24
1989-08-20	Ikast	W 4-2	54.0	1426	1475	37.06%	30.88%	32.07%	-0.02	+18.8	8
1989-08-20	@ B 1913	L 2-4	54.0	1475	1426	32.07%	30.88%	37.06%	+0.02	-18.8	10
1989-08-20	Frem	W 4-1	49.3	1760	1484	66.87%	26.62%	6.52%	+1.74	+7.7	25
1989-08-20	@ Brondby	L 1-4	49.3	1484	1760	6.52%	26.62%	66.87%	-1.74	-7.7	13
1989-08-20	B 1903	L 0-3	43.8	1434	1592	22.96%	30.29%	46.74%	-0.62	-27.6	11
1989-08-20	@ Herfolge	W 3-0	43.8	1592	1434	46.74%	30.29%	22.96%	+0.62	+27.6	18
1989-08-20	Naestved	W 3-1	54.3	1649	1539	55.19%	29.82%	15.00%	+0.84	+11.8	22
1989-08-20	@ Lyngby	L 1-3	54.3	1539	1649	15.00%	29.82%	55.19%	-0.84	-11.8	10
1989-08-20	Aarhus GF	D 0-0	63.8	1590	1663	33.55%	30.84%	35.61%	-0.16	+0.2	16
1989-08-20	@ Silkeborg	D 0-0	63.8	1663	1590	35.61%	30.84%	33.55%	+0.16	-0.2	19
1989-08-20	Bronshoj	W 6-0	44.2	1712	1455	65.77%	27.07%	7.16%	+1.64	+19.1	25
1989-08-20	@ Vejle BK	L 0-6	44.2	1455	1712	7.16%	27.07%	65.77%	-1.64	-19.1	9
1989-08-27	Vejle BK	D 2-2	76.3	1663	1731	34.30%	30.85%	34.85%	-0.13	+0.0	20
1989-08-27	@ Aarhus GF	D 2-2	76.3	1731	1663	34.85%	30.85%	34.30%	+0.13	-0.0	26
1989-08-27	Lyngby	L 0-1	49.4	1436	1660	16.62%	29.43%	53.95%	-0.98	-7.8	9
1989-08-27	@ Bronshoj	W 1-0	49.4	1660	1436	53.95%	29.43%	16.62%	+0.98	+7.8	24
1989-08-27	Brondby	L 0-1	57.4	1620	1768	24.07%	30.39%	45.55%	-0.57	-10.4	18
1989-08-27	@ B 1903	W 1-0	57.4	1768	1620	45.55%	30.39%	24.07%	+0.57	+10.4	27
1989-08-27	Silkeborg	W 2-1	62.0	1476	1590	28.19%	30.66%	41.15%	-0.38	+14.5	15
1989-08-27	@ Frem	L 1-2	62.0	1590	1476	41.15%	30.66%	28.19%	+0.38	-14.5	16
1989-08-27	Aalborg	W 2-1	54.8	1456	1496	38.23%	30.88%	30.90%	+0.02	+11.8	12
1989-08-27	@ Ikast	L 1-2	54.8	1496	1456	30.90%	30.88%	38.23%	-0.02	-11.8	14
1989-08-27	B 1913	W 4-0	40.0	1527	1445	52.62%	30.16%	17.22%	+0.69	+29.0	12
1989-08-27	@ Naestved	L 0-4	40.0	1445	1527	17.22%	30.16%	52.62%	-0.69	-29.0	8
1989-08-27	Herfolge	W 3-0	40.1	1688	1407	67.16%	26.49%	6.35%	+1.77	+8.8	26
1989-08-27	@ Odense	L 0-3	40.1	1407	1688	6.35%	26.49%	67.16%	-1.77	-8.8	11
1989-09-03	Bronshoj	W 3-1	46.9	1416	1428	41.96%	30.83%	27.21%	+0.18	+18.7	10
1989-09-03	@ B 1913	L 1-3	46.9	1428	1416	27.21%	30.83%	41.96%	-0.18	-18.7	9
1989-09-03	Odense	L 0-2	62.9	1778	1697	52.52%	30.17%	17.31%	+0.68	-35.8	27
1989-09-03	@ Brondby	W 2-0	62.9	1697	1778	17.31%	30.17%	52.52%	-0.68	+35.8	28
1989-09-03	Aalborg	L 0-2	43.3	1398	1484	31.78%	30.80%	37.43%	-0.23	-24.1	11
1989-09-03	@ Herfolge	W 2-0	43.3	1484	1398	37.43%	30.80%	31.78%	+0.23	+24.1	16
1989-09-03	Aarhus GF	L 3-5	71.1	1668	1663	44.13%	30.77%	25.10%	+0.27	-22.5	24
1989-09-03	@ Lyngby	W 5-3	71.1	1663	1668	25.10%	30.77%	44.13%	-0.27	+22.5	22
1989-09-03	Ikast	W 3-0	41.8	1556	1468	53.22%	30.09%	16.69%	+0.72	+21.6	14
1989-09-03	@ Naestved	L 0-3	41.8	1468	1556	16.69%	30.09%	53.22%	-0.72	-21.6	12
1989-09-03	B 1903	D 1-1	67.2	1575	1609	39.03%	30.87%	30.10%	+0.05	-0.6	17
1989-09-03	@ Silkeborg	D 1-1	67.2	1609	1575	30.10%	30.87%	39.03%	-0.05	+0.6	19
1989-09-03	Frem	W 2-1	55.4	1731	1491	64.77%	27.45%	7.78%	+1.55	+3.7	28
1989-09-03	@ Vejle BK	L 1-2	55.4	1491	1731	7.78%	27.45%	64.77%	-1.55	-3.7	15
1989-09-09	Naestved	L 0-1	47.2	1409	1578	21.83%	30.18%	47.99%	-0.68	-9.7	9
1989-09-09	@ Bronshoj	W 1-0	47.2	1578	1409	47.99%	30.18%	21.83%	+0.68	+9.7	16
1989-09-10	Brondby	W 2-0	61.2	1508	1742	15.86%	29.28%	54.85%	-1.03	+37.1	18
1989-09-10	@ Aalborg	L 0-2	61.2	1742	1508	54.85%	29.28%	15.86%	+1.03	-37.0	27
1989-09-10	B 1913	W 4-0	41.4	1685	1435	65.41%	27.21%	7.38%	+1.61	+13.5	24
1989-09-10	@ Aarhus GF	L 0-4	41.4	1435	1685	7.38%	27.21%	65.41%	-1.61	-13.5	10
1989-09-10	Vejle BK	W 3-1	65.3	1610	1735	26.80%	30.58%	42.61%	-0.44	+25.8	21
1989-09-10	@ B 1903	L 1-3	65.3	1735	1610	42.61%	30.58%	26.80%	+0.44	-25.8	28
1989-09-10	Lyngby	L 1-4	52.7	1487	1646	22.89%	30.29%	46.82%	-0.62	-23.2	15
1989-09-10	@ Frem	W 4-1	52.7	1646	1487	46.82%	30.29%	22.89%	+0.62	+23.2	26
1989-09-10	Herfolge	W 2-1	46.7	1446	1374	51.63%	30.27%	18.10%	+0.63	+8.0	14
1989-09-10	@ Ikast	L 1-2	46.7	1374	1446	18.10%	30.27%	51.63%	-0.63	-8.0	11
1989-09-10	Silkeborg	W 3-0	47.3	1733	1575	59.21%	29.07%	11.72%	+1.10	+16.0	30
1989-09-10	@ Odense	L 0-3	47.3	1575	1733	11.72%	29.07%	59.21%	-1.10	-16.0	17
1989-09-17	Frem	L 0-2	45.2	1421	1464	37.87%	30.88%	31.25%	+0.01	-27.3	10
1989-09-17	@ B 1913	W 2-0	45.2	1464	1421	31.25%	30.88%	37.87%	-0.01	+27.3	17
1989-09-17	Herfolge	W 3-0	38.4	1705	1366	70.19%	25.01%	4.80%	+2.09	+6.5	29
1989-09-17	@ Brondby	L 0-3	38.4	1366	1705	4.80%	25.01%	70.19%	-2.09	-6.5	11
1989-09-17	Ikast	L 0-1	47.2	1400	1454	36.23%	30.87%	32.90%	-0.06	-14.0	9
1989-09-17	@ Bronshoj	W 1-0	47.2	1454	1400	32.90%	30.87%	36.23%	+0.06	+14.0	16
1989-09-17	B 1903	W 1-0	56.0	1669	1636	47.41%	30.61%	21.98%	+0.42	+9.8	28
1989-09-17	@ Lyngby	L 0-1	56.0	1636	1669	21.98%	30.61%	47.41%	-0.42	-9.8	21
1989-09-17	Aarhus GF	D 1-1	69.2	1587	1699	28.45%	30.67%	40.88%	-0.37	+0.9	17
1989-09-17	@ Naestved	D 1-1	69.2	1699	1587	40.88%	30.67%	28.45%	+0.37	-0.9	25
1989-09-17	Aalborg	W 1-0	52.3	1559	1545	45.10%	30.73%	24.17%	+0.31	+10.5	19
1989-09-17	@ Silkeborg	L 0-1	52.3	1545	1559	24.17%	30.73%	45.10%	-0.31	-10.5	18
1989-09-17	Odense	L 1-2	68.1	1709	1749	38.24%	30.88%	30.89%	+0.02	-13.8	28
1989-09-17	@ Vejle BK	W 2-1	68.1	1749	1709	30.89%	30.88%	38.24%	-0.02	+13.8	32
1989-09-23	Ikast	W 2-1	54.4	1712	1468	65.00%	27.37%	7.64%	+1.57	+3.7	31
1989-09-23	@ Brondby	L 1-2	54.4	1468	1712	7.64%	27.37%	65.00%	-1.57	-3.7	16
1989-09-23	Naestved	W 2-1	61.8	1491	1588	30.31%	30.75%	38.94%	-0.29	+13.9	19
1989-09-23	@ Frem	L 1-2	61.8	1588	1491	38.94%	30.75%	30.31%	+0.29	-13.9	17
1989-09-24	Vejle BK	D 2-2	74.5	1535	1695	22.71%	30.27%	47.02%	-0.63	+1.4	19
1989-09-24	@ Aalborg	D 2-2	74.5	1695	1535	47.02%	30.27%	22.71%	+0.63	-1.4	29
1989-09-24	Bronshoj	D 1-1	65.8	1698	1385	68.82%	25.71%	5.46%	+1.94	-5.6	26
1989-09-24	@ Aarhus GF	D 1-1	65.8	1385	1698	5.46%	25.71%	68.82%	-1.94	+5.6	10
1989-09-24	B 1913	W 3-1	46.2	1626	1394	64.29%	27.63%	8.09%	+1.50	+6.7	23
1989-09-24	@ B 1903	L 1-3	46.2	1394	1626	8.09%	27.63%	64.29%	-1.50	-6.7	10
1989-09-24	Silkeborg	L 0-2	40.3	1359	1569	17.88%	29.65%	52.46%	-0.90	-15.6	11
1989-09-24	@ Herfolge	W 2-0	40.3	1569	1359	52.46%	29.65%	17.88%	+0.90	+15.6	21
1989-09-24	Lyngby	D 1-1	70.7	1763	1679	52.79%	30.14%	17.07%	+0.70	-2.9	33
1989-09-24	@ Odense	D 1-1	70.7	1679	1763	17.07%	30.14%	52.79%	-0.70	+2.9	29
1989-10-01	Odense	L 0-1	47.4	1387	1760	8.03%	26.42%	65.55%	-1.79	-4.0	10
1989-10-01	@ B 1913	W 1-0	47.4	1760	1387	65.55%	26.42%	8.03%	+1.79	+4.0	35
1989-10-01	Frem	L 2-4	52.6	1391	1505	28.12%	30.66%	41.22%	-0.38	-17.1	10
1989-10-01	@ Bronshoj	W 4-2	52.6	1505	1391	41.22%	30.66%	28.12%	+0.38	+17.1	21
1989-10-01	Aarhus GF	L 0-2	47.6	1464	1692	16.35%	29.38%	54.27%	-1.00	-14.4	16
1989-10-01	@ Ikast	W 2-0	47.6	1692	1464	54.27%	29.38%	16.35%	+1.00	+14.5	28
1989-10-01	Aalborg	W 2-0	47.9	1681	1536	58.20%	29.29%	12.51%	+1.03	+11.7	31
1989-10-01	@ Lyngby	L 0-2	47.9	1536	1681	12.51%	29.29%	58.20%	-1.03	-11.7	19
1989-10-01	B 1903	W 2-1	63.8	1574	1633	35.68%	30.87%	33.45%	-0.08	+12.5	19
1989-10-01	@ Naestved	L 1-2	63.8	1633	1574	33.45%	30.87%	35.68%	+0.08	-12.5	23
1989-10-01	Brondby	D 1-1	69.4	1585	1716	26.05%	30.54%	43.42%	-0.47	+1.3	22
1989-10-01	@ Silkeborg	D 1-1	69.4	1716	1585	43.42%	30.54%	26.05%	+0.47	-1.3	32
1989-10-01	Herfolge	W 3-1	44.9	1694	1344	70.71%	24.73%	4.57%	+2.15	+3.7	31
1989-10-01	@ Vejle BK	L 1-3	44.9	1344	1694	4.57%	24.73%	70.71%	-2.15	-3.7	11
1989-10-07	B 1913	L 0-1	54.9	1524	1383	57.88%	29.35%	12.77%	+1.01	-20.8	19
1989-10-07	@ Aalborg	W 1-0	54.9	1383	1524	12.77%	29.35%	57.88%	-1.01	+20.8	12
1989-10-07	Vejle BK	W 2-0	54.1	1714	1697	45.53%	30.71%	23.76%	+0.33	+19.6	34
1989-10-07	@ Brondby	L 0-2	54.1	1697	1714	23.76%	30.71%	45.53%	-0.33	-19.6	31
1989-10-07	Bronshoj	W 2-0	38.9	1620	1374	65.15%	27.31%	7.54%	+1.58	+7.3	25
1989-10-07	@ B 1903	L 0-2	38.9	1374	1620	7.54%	27.31%	65.15%	-1.58	-7.3	10
1989-10-07	Aarhus GF	L 0-3	48.9	1522	1707	20.21%	29.99%	49.80%	-0.76	-25.0	21
1989-10-07	@ Frem	W 3-0	48.9	1707	1522	49.80%	29.99%	20.21%	+0.76	+25.0	30
1989-10-07	Lyngby	L 1-2	50.0	1340	1693	8.83%	26.89%	64.28%	-1.68	-4.1	11
1989-10-07	@ Herfolge	W 2-1	50.0	1693	1340	64.28%	26.89%	8.83%	+1.68	+4.1	33
1989-10-07	Naestved	L 1-2	73.5	1764	1587	60.59%	28.74%	10.67%	+1.20	-20.5	35
1989-10-07	@ Odense	W 2-1	73.5	1587	1764	10.67%	28.74%	60.59%	-1.20	+20.5	21
1989-10-07	Ikast	L 1-2	65.4	1586	1450	57.45%	29.44%	13.12%	+0.98	-19.5	22
1989-10-07	@ Silkeborg	W 2-1	65.4	1450	1586	13.12%	29.44%	57.45%	-0.98	+19.5	18
1989-10-15	B 1903	D 2-2	76.4	1732	1628	54.70%	29.89%	15.41%	+0.81	-2.4	31
1989-10-15	@ Aarhus GF	D 2-2	76.4	1628	1732	15.41%	29.89%	54.70%	-0.81	+2.4	26
1989-10-15	Herfolge	L 0-1	49.0	1404	1336	51.21%	30.31%	18.49%	+0.61	-18.6	12
1989-10-15	@ B 1913	W 1-0	49.0	1336	1404	18.49%	30.31%	51.21%	-0.61	+18.6	13
1989-10-15	Odense	L 1-2	52.2	1367	1743	7.88%	26.32%	65.79%	-1.81	-3.7	10
1989-10-15	@ Bronshoj	W 2-1	52.2	1743	1367	65.79%	26.32%	7.88%	+1.81	+3.7	37
1989-10-15	Frem	W 1-0	48.9	1469	1497	39.88%	30.87%	29.26%	+0.09	+12.1	20
1989-10-15	@ Ikast	L 0-1	48.9	1497	1469	29.26%	30.87%	39.88%	-0.09	-12.1	21
1989-10-15	Brondby	W 4-0	54.4	1697	1734	38.70%	30.88%	30.42%	+0.04	+44.4	35
1989-10-15	@ Lyngby	L 0-4	54.4	1734	1697	30.42%	30.88%	38.70%	-0.04	-44.4	34
1989-10-15	Aalborg	W 5-4	64.2	1607	1504	54.65%	29.90%	15.45%	+0.81	+6.4	23
1989-10-15	@ Naestved	L 4-5	64.2	1504	1607	15.45%	29.90%	54.65%	-0.81	-6.4	19
1989-10-15	Silkeborg	D 0-0	64.0	1678	1566	55.34%	29.80%	14.86%	+0.85	-3.7	32
1989-10-15	@ Vejle BK	D 0-0	64.0	1566	1678	14.86%	29.80%	55.34%	-0.85	+3.7	23
1989-10-22	Bronshoj	L 1-3	56.0	1497	1363	57.30%	29.46%	13.24%	+0.97	-33.7	19
1989-10-22	@ Aalborg	W 3-1	56.0	1363	1497	13.24%	29.46%	57.30%	-0.97	+33.7	12
1989-10-22	B 1913	W 4-0	39.0	1689	1385	68.38%	25.93%	5.69%	+1.90	+10.3	36
1989-10-22	@ Brondby	L 0-4	39.0	1385	1689	5.69%	25.93%	68.38%	-1.90	-10.3	12
1989-10-22	Frem	L 0-3	57.1	1630	1485	58.15%	29.30%	12.55%	+1.03	-57.3	26
1989-10-22	@ B 1903	W 3-0	57.1	1485	1630	12.55%	29.30%	58.15%	-1.03	+57.3	23
1989-10-22	Naestved	W 2-0	53.3	1354	1614	14.01%	28.85%	57.14%	-1.17	+38.5	15
1989-10-22	@ Herfolge	L 0-2	53.3	1614	1354	57.14%	28.85%	14.01%	+1.17	-38.5	23
1989-10-22	Aarhus GF	W 2-0	54.4	1747	1729	45.60%	30.70%	23.69%	+0.34	+19.5	39
1989-10-22	@ Odense	L 0-2	54.4	1729	1747	23.69%	30.70%	45.60%	-0.34	-19.5	31
1989-10-22	Lyngby	D 1-1	69.7	1570	1742	21.52%	30.15%	48.33%	-0.69	+2.1	24
1989-10-22	@ Silkeborg	D 1-1	69.7	1742	1570	48.33%	30.15%	21.52%	+0.69	-2.1	36
1989-10-22	Ikast	W 4-1	48.9	1674	1481	61.70%	28.44%	9.85%	+1.29	+11.5	34
1989-10-22	@ Vejle BK	L 1-4	48.9	1481	1674	9.85%	28.44%	61.70%	-1.29	-11.5	20
1989-10-29	Aalborg	W 1-0	48.3	1710	1464	65.14%	27.31%	7.54%	+1.58	+3.9	33
1989-10-29	@ Aarhus GF	L 0-1	48.3	1464	1710	7.54%	27.31%	65.14%	-1.58	-3.8	19
1989-10-29	Silkeborg	D 0-0	54.8	1375	1572	19.03%	29.83%	51.14%	-0.83	+2.8	13
1989-10-29	@ B 1913	D 0-0	54.8	1572	1375	51.14%	29.83%	19.03%	+0.83	-2.8	25
1989-10-29	Herfolge	D 1-1	54.7	1397	1393	43.94%	30.77%	25.29%	+0.26	-1.4	13
1989-10-29	@ Bronshoj	D 1-1	54.7	1393	1397	25.29%	30.77%	43.94%	-0.26	+1.4	16
1989-10-29	Odense	L 1-2	60.1	1542	1766	16.68%	29.44%	53.87%	-0.98	-7.4	23
1989-10-29	@ Frem	W 2-1	60.1	1766	1542	53.87%	29.44%	16.68%	+0.98	+7.3	41
1989-10-29	B 1903	D 2-2	69.0	1470	1573	29.57%	30.72%	39.70%	-0.32	+0.5	21
1989-10-29	@ Ikast	D 2-2	69.0	1573	1470	39.70%	30.72%	29.57%	+0.32	-0.6	27
1989-10-29	Vejle BK	W 2-1	62.3	1740	1686	49.73%	30.44%	19.83%	+0.53	+8.5	38
1989-10-29	@ Lyngby	L 1-2	62.3	1686	1740	19.83%	30.44%	49.73%	-0.53	-8.5	34
1989-10-29	Brondby	L 1-4	57.1	1575	1700	26.83%	30.58%	42.59%	-0.44	-26.1	23
1989-10-29	@ Naestved	W 4-1	57.1	1700	1575	42.59%	30.58%	26.83%	+0.44	+26.1	38

Biggest Upsets

The 25 games where the underdog won despite the lowest pregame win probability. Underdog Win % is the winner's pregame chance of winning the game (lower = bigger upset). @ before a team name indicates the away side. An asterisk (*) after the date marks a playoff game.

#	Date	Underdog Win %	Winning Team			Losing Team
#	Date	Underdog Win %	Team	Elo	Score	Team	Elo	Score
1	1989-10-07	10.67%	Naestved	1587	2	@ Odense	1764	1
2	1989-08-02	11.83%	@ Herfolge	1467	1	Brondby	1761	0
3	1989-05-14	12.51%	B 1913	1454	3	@ Silkeborg	1599	1
4	1989-10-22	12.55%	Frem	1485	3	@ B 1903	1630	0
5	1989-10-07	12.77%	B 1913	1383	1	@ Aalborg	1524	0
6	1989-10-07	13.12%	Ikast	1450	2	@ Silkeborg	1586	1
7	1989-10-22	13.24%	Bronshoj	1363	3	@ Aalborg	1497	1
8	1989-10-22	14.01%	@ Herfolge	1354	2	Naestved	1614	0
9	1989-07-30	14.47%	Herfolge	1447	1	@ Silkeborg	1564	0
10	1989-09-10	15.86%	@ Aalborg	1508	2	Brondby	1742	0
11	1989-06-11	16.31%	Naestved	1543	3	@ B 1903	1636	0
12	1989-05-21	17.26%	Silkeborg	1565	3	@ Lyngby	1647	2
13	1989-09-03	17.31%	Odense	1697	2	@ Brondby	1778	0
14	1989-08-02	18.46%	Bronshoj	1444	3	@ Ikast	1512	1
15	1989-10-15	18.49%	Herfolge	1336	1	@ B 1913	1404	0
16	1989-04-09	21.67%	@ Frem	1440	1	Vejle BK	1610	0
17	1989-05-28	23.83%	Aarhus GF	1609	2	@ B 1903	1626	0
18	1989-09-03	25.10%	Aarhus GF	1663	5	@ Lyngby	1668	3
19	1989-06-04	25.25%	@ Vejle BK	1653	2	Brondby	1791	0
20	1989-05-28	25.62%	@ Aalborg	1462	2	Naestved	1597	0
21	1989-07-30	25.76%	Odense	1654	2	@ Lyngby	1654	0
22	1989-09-10	26.80%	@ B 1903	1610	3	Vejle BK	1735	1
23	1989-06-04	27.28%	Aalborg	1493	2	@ B 1913	1481	1
24	1989-08-27	28.19%	@ Frem	1476	2	Silkeborg	1590	1
25	1989-04-16	29.12%	Odense	1533	1	@ Herfolge	1507	0

Biggest Elo Changes

The 25 games that resulted in the largest shift in Elo rating.

#	Date	Elo Δ	Winning Team				Losing Team				Tie %
#	Date	Elo Δ	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	1989-10-22	57.29	Frem	3	1485	12.55%	@ B 1903	0	1630	58.15%	29.30%
2	1989-06-11	53.07	Naestved	3	1543	16.31%	@ B 1903	0	1636	53.66%	30.03%
3	1989-10-15	44.40	@ Lyngby	4	1697	38.70%	Brondby	0	1734	30.42%	30.88%
4	1989-06-04	42.19	B 1903	4	1594	40.93%	@ Bronshoj	0	1482	28.40%	30.67%
5	1989-04-09	38.54	Brondby	4	1711	44.41%	@ Odense	0	1572	25.12%	30.47%
6	1989-10-22	38.49	@ Herfolge	2	1354	14.01%	Naestved	0	1614	57.14%	28.85%
7	1989-09-10	37.06	@ Aalborg	2	1508	15.86%	Brondby	0	1742	54.85%	29.28%
8	1989-09-03	35.82	Odense	2	1697	17.31%	@ Brondby	0	1778	52.52%	30.17%
9	1989-05-14	34.19	B 1913	3	1454	12.51%	@ Silkeborg	1	1599	58.20%	29.29%
10	1989-08-06	34.19	@ Silkeborg	3	1544	38.45%	Naestved	0	1583	30.67%	30.88%
11	1989-10-22	33.68	Bronshoj	3	1363	13.24%	@ Aalborg	1	1497	57.30%	29.46%
12	1989-04-30	32.11	@ Odense	3	1565	41.07%	Ikast	0	1584	28.09%	30.85%
13	1989-08-13	31.55	@ Frem	3	1452	41.76%	Herfolge	0	1466	27.40%	30.83%
14	1989-05-28	31.54	Aarhus GF	2	1609	23.83%	@ B 1903	0	1626	45.46%	30.71%
15	1989-06-04	30.76	@ Vejle BK	2	1653	25.25%	Brondby	0	1791	44.27%	30.48%
16	1989-05-28	30.54	@ Aalborg	2	1462	25.62%	Naestved	0	1597	43.87%	30.51%
17	1989-07-30	30.38	Odense	2	1654	25.76%	@ Lyngby	0	1654	43.45%	30.79%
18	1989-08-02	30.32	Bronshoj	3	1444	18.46%	@ Ikast	1	1512	51.23%	30.31%
19	1989-08-27	28.98	@ Naestved	4	1527	52.62%	B 1913	0	1445	17.22%	30.16%
20	1989-08-20	27.57	B 1903	3	1592	46.74%	@ Herfolge	0	1434	22.96%	30.29%
21	1989-09-17	27.31	Frem	2	1464	31.25%	@ B 1913	0	1421	37.87%	30.88%
22	1989-04-30	27.18	@ Silkeborg	5	1571	49.53%	Bronshoj	1	1519	20.01%	30.46%
23	1989-10-29	26.13	Brondby	4	1700	42.59%	@ Naestved	1	1575	26.83%	30.58%
24	1989-09-10	25.84	@ B 1903	3	1610	26.80%	Vejle BK	1	1735	42.61%	30.58%
25	1989-05-21	25.14	Vejle BK	2	1614	35.42%	@ Ikast	0	1542	33.74%	30.84%

Most & Least Exciting Games

The season’s games ranked by excitement rating (0–100) — a blend of closeness, upset, team quality, and scoring. An asterisk (*) after the date indicates a playoff game.

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	1989-08-20	77.5	@ Aalborg	3	1494	19.19%	Odense	3	1690	50.95%	29.85%
2	1989-05-28	77.1	@ Brondby	2	1794	59.65%	Lyngby	2	1630	11.38%	28.97%
3	1989-10-15	76.4	@ Aarhus GF	2	1732	54.70%	B 1903	2	1628	15.41%	29.89%
4	1989-08-27	76.3	@ Aarhus GF	2	1663	34.30%	Vejle BK	2	1731	34.85%	30.85%
5	1989-05-13	74.9	@ Vejle BK	2	1615	39.37%	Lyngby	2	1646	29.76%	30.87%
6	1989-05-21	74.7	Silkeborg	3	1565	17.26%	@ Lyngby	2	1647	52.58%	30.16%
7	1989-09-24	74.5	@ Aalborg	2	1535	22.71%	Vejle BK	2	1695	47.02%	30.27%
8	1989-10-07	73.5	Naestved	2	1587	10.67%	@ Odense	1	1764	60.59%	28.74%
9	1989-09-03	71.1	Aarhus GF	5	1663	25.10%	@ Lyngby	3	1668	44.13%	30.77%
10	1989-05-21	70.9	@ Naestved	2	1599	55.06%	Herfolge	2	1491	15.10%	29.84%
11	1989-09-24	70.7	@ Odense	1	1763	52.79%	Lyngby	1	1679	17.07%	30.14%
12	1989-04-02	70.4	@ Herfolge	2	1519	37.31%	Ikast	2	1566	31.82%	30.88%
13	1989-04-16	70.4	@ Brondby	1	1749	56.94%	B 1903	1	1619	13.53%	29.53%
14	1989-10-22	69.7	@ Silkeborg	1	1570	21.52%	Lyngby	1	1742	48.33%	30.15%
15	1989-10-01	69.4	@ Silkeborg	1	1585	26.05%	Brondby	1	1716	43.42%	30.54%
16	1989-08-06	69.3	@ Odense	1	1696	55.67%	B 1903	1	1581	14.59%	29.74%
17	1989-09-17	69.2	@ Naestved	1	1587	28.45%	Aarhus GF	1	1699	40.88%	30.67%
18	1989-10-29	69.0	@ Ikast	2	1470	29.57%	B 1903	2	1573	39.70%	30.72%
19	1989-04-09	68.3	@ Aarhus GF	1	1632	47.03%	Lyngby	1	1602	22.34%	30.63%
20	1989-04-23	68.1	@ Naestved	1	1606	41.54%	Lyngby	1	1621	27.63%	30.84%
21	1989-09-17	68.1	Odense	2	1749	30.89%	@ Vejle BK	1	1709	38.24%	30.88%
22	1989-04-16	68.0	@ Vejle BK	1	1593	38.68%	Aarhus GF	1	1630	30.45%	30.88%
23	1989-04-30	67.8	@ Vejle BK	1	1606	43.66%	Naestved	1	1605	25.55%	30.78%
24	1989-05-07	67.7	@ Naestved	1	1606	44.46%	Silkeborg	1	1598	24.79%	30.75%
25	1989-09-03	67.2	@ Silkeborg	1	1575	39.03%	B 1903	1	1609	30.10%	30.87%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	1989-09-17	38.4	@ Brondby	3	1705	70.19%	Herfolge	0	1366	4.80%	25.01%
2	1989-10-07	38.9	@ B 1903	2	1620	65.15%	Bronshoj	0	1374	7.54%	27.31%
3	1989-10-22	39.0	@ Brondby	4	1689	68.38%	B 1913	0	1385	5.69%	25.93%
4	1989-08-27	40.0	@ Naestved	4	1527	52.62%	B 1913	0	1445	17.22%	30.16%
5	1989-08-27	40.1	@ Odense	3	1688	67.16%	Herfolge	0	1407	6.35%	26.49%
6	1989-09-24	40.3	Silkeborg	2	1569	52.46%	@ Herfolge	0	1359	17.88%	29.65%
7	1989-08-13	41.3	@ Frem	3	1452	41.76%	Herfolge	0	1466	27.40%	30.83%
8	1989-09-10	41.4	@ Aarhus GF	4	1685	65.41%	B 1913	0	1435	7.38%	27.21%
9	1989-09-03	41.8	@ Naestved	3	1556	53.22%	Ikast	0	1468	16.69%	30.09%
10	1989-06-04	43.2	@ Aarhus GF	2	1641	61.94%	Frem	0	1445	9.68%	28.38%
11	1989-09-03	43.3	Aalborg	2	1484	37.43%	@ Herfolge	0	1398	31.78%	30.80%
12	1989-06-04	43.8	@ Lyngby	4	1633	57.86%	Herfolge	0	1492	12.78%	29.36%
13	1989-08-20	43.8	B 1903	3	1592	46.74%	@ Herfolge	0	1434	22.96%	30.29%
14	1989-08-20	44.2	@ Vejle BK	6	1712	65.77%	Bronshoj	0	1455	7.16%	27.07%
15	1989-04-30	44.7	@ Lyngby	2	1622	58.26%	B 1913	0	1476	12.46%	29.28%
16	1989-10-01	44.9	@ Vejle BK	3	1694	70.71%	Herfolge	1	1344	4.57%	24.73%
17	1989-04-30	45.1	@ Herfolge	1	1479	47.54%	Frem	0	1445	21.86%	30.60%
18	1989-09-17	45.2	Frem	2	1464	31.25%	@ B 1913	0	1421	37.87%	30.88%
19	1989-04-23	45.3	@ Odense	2	1548	49.74%	Aalborg	0	1494	19.82%	30.44%
20	1989-04-23	45.6	@ B 1903	2	1623	57.06%	Herfolge	0	1491	13.43%	29.51%
21	1989-04-02	45.9	@ Brondby	2	1702	63.01%	Aalborg	0	1490	8.93%	28.05%
22	1989-04-02	46.1	@ Lyngby	1	1596	58.53%	Frem	0	1446	12.25%	29.22%
23	1989-06-11	46.1	Vejle BK	3	1684	52.97%	@ Herfolge	0	1469	17.45%	29.58%
24	1989-09-24	46.2	@ B 1903	3	1626	64.29%	B 1913	1	1394	8.09%	27.63%
25	1989-04-16	46.4	@ Silkeborg	1	1561	54.57%	Frem	0	1458	15.52%	29.91%